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Knowledge Market Design: A Field Experiment at Google Answers
Author(s) -
CHEN YAN,
HO TECKHUA,
KIM YONGMI
Publication year - 2010
Publication title -
journal of public economic theory
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.809
H-Index - 32
eISSN - 1467-9779
pISSN - 1097-3923
DOI - 10.1111/j.1467-9779.2010.01468.x
Subject(s) - field (mathematics) , economics , microeconomics , advertising , business , mathematics , pure mathematics
In a field experiment at Google Answers, we investigate the performance of price‐based online knowledge markets by systematically manipulating prices. Specifically, we study the effects of price, tip, and a reputation system on both an answerer's effort and answer quality by posting real reference questions from the Internet Public Library on Google Answers under different pricing schemes. We find that a higher price leads to a significantly longer, but not better, answer, while an answerer with a higher reputation provides significantly better answers. Our results highlight the limitation of monetary incentives and the importance of reputation systems in knowledge market design.